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C.H. Robinson Uses Heuristics to Solve Rich Vehicle Routing Problems

Author

Listed:
  • Ehsan Khodabandeh

    (Coupa Software, Chicago, Illinois 60654)

  • Lawrence V. Snyder

    (Industrial and Systems Engineering, Lehigh University, Bethlehem, Pennsylvania 18015)

  • John Dennis

    (C.H. Robinson, Eden Prairie, Minnesota 55347)

  • Joshua Hammond

    (C.H. Robinson, Eden Prairie, Minnesota 55347)

  • Cody Wanless

    (C.H. Robinson, Eden Prairie, Minnesota 55347)

Abstract

We consider a broad family of vehicle routing problem variants with many complex and practical constraints, known as rich vehicle routing problems, which are faced on a daily basis by C.H. Robinson (CHR). Because CHR has many customers, each with distinct requirements, various routing problems with different objectives and constraints must be solved. We propose a novel framework for solving rich vehicle routing problems, which we demonstrate is effective in solving a variety of different problems. This framework, along with a simple user interface, has been wrapped into a new module and integrated into the company’s transportation planning and execution technology platform. Since its implementation, this new module has outperformed the previously used third-party technologies at CHR, significantly reduced setup times, and improved users’ productivity as well as customer outcomes.

Suggested Citation

  • Ehsan Khodabandeh & Lawrence V. Snyder & John Dennis & Joshua Hammond & Cody Wanless, 2022. "C.H. Robinson Uses Heuristics to Solve Rich Vehicle Routing Problems," Interfaces, INFORMS, vol. 52(2), pages 173-188, March.
    • Handle: RePEc:inm:orinte:v:52:y:2022:i:2:p:173-188
    DOI: 10.1287/inte.2021.1090
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    References listed on IDEAS

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    1. Timothy A. Carnes & Shane G. Henderson & David B. Shmoys & Mahvareh Ahghari & Russell D. MacDonald, 2013. "Mathematical Programming Guides Air-Ambulance Routing at Ornge," Interfaces, INFORMS, vol. 43(3), pages 232-239, May-June.
    2. M. L. Balinski & R. E. Quandt, 1964. "On an Integer Program for a Delivery Problem," Operations Research, INFORMS, vol. 12(2), pages 300-304, April.
    3. Vidal, Thibaut & Crainic, Teodor Gabriel & Gendreau, Michel & Prins, Christian, 2014. "A unified solution framework for multi-attribute vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 234(3), pages 658-673.
    4. Vidal, Thibaut & Crainic, Teodor Gabriel & Gendreau, Michel & Prins, Christian, 2013. "Heuristics for multi-attribute vehicle routing problems: A survey and synthesis," European Journal of Operational Research, Elsevier, vol. 231(1), pages 1-21.
    5. Pedro Amorim & Sophie Parragh & Fabrício Sperandio & Bernardo Almada-Lobo, 2014. "A rich vehicle routing problem dealing with perishable food: a case study," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(2), pages 489-508, July.
    6. Roberto Baldacci & Aristide Mingozzi & Roberto Roberti, 2011. "New Route Relaxation and Pricing Strategies for the Vehicle Routing Problem," Operations Research, INFORMS, vol. 59(5), pages 1269-1283, October.
    7. Stefan Ropke & Jean-François Cordeau, 2009. "Branch and Cut and Price for the Pickup and Delivery Problem with Time Windows," Transportation Science, INFORMS, vol. 43(3), pages 267-286, August.
    8. Yetkin Ileri & Mokhtar Bazaraa & Ted Gifford & George Nemhauser & Joel Sokol & Erick Wikum, 2006. "An optimization approach for planning daily drayage operations," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(2), pages 141-156, June.
    9. Ted Gifford & Tracy Opicka & Ashesh Sinha & Daniel Vanden Brink & Andy Gifford & Robert Randall, 2018. "Dispatch Optimization in Bulk Tanker Transport Operations," Interfaces, INFORMS, vol. 48(5), pages 403-421, October.
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